/* * Copyright (C) 2003-2006 Bjørn-Ove Heimsund * * This file is part of MTJ. * * This library is free software; you can redistribute it and/or modify it * under the terms of the GNU Lesser General Public License as published by the * Free Software Foundation; either version 2.1 of the License, or (at your * option) any later version. * * This library is distributed in the hope that it will be useful, but WITHOUT * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or * FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License * for more details. * * You should have received a copy of the GNU Lesser General Public License * along with this library; if not, write to the Free Software Foundation, * Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */ package no.uib.cipr.matrix; import org.junit.Test; /** * LQ test */ public class LQTest extends OrthogonalTestAbstract { @Test public void testStaticFactorize() { assertLQEquals(A, LQ.factorize(A)); } @Test public void testRepeatStaticFactorize() { assertLQEquals(A, LQ.factorize(A)); assertLQEquals(A, LQ.factorize(A)); } @Test public void testFactor() { LQ lq = new LQ(A.numRows(), A.numColumns()); assertLQEquals(A, lq.factor(new DenseMatrix(A))); } @Test public void testRepeatFactor() { LQ lq = new LQ(A.numRows(), A.numColumns()); lq.factor(new DenseMatrix(A)); assertLQEquals(A, lq); lq.factor(new DenseMatrix(A)); assertLQEquals(A, lq); } @Test public void testStaticFactorizeNonSquare() { assertLQEquals(Ac, LQ.factorize(Ac)); } @Test public void testRepeatStaticFactorizeNonSquare() { assertLQEquals(Ac, LQ.factorize(Ac)); assertLQEquals(Ac, LQ.factorize(Ac)); } @Test public void testFactorNonSquare() { LQ lq = new LQ(Ac.numRows(), Ac.numColumns()); assertLQEquals(Ac, lq.factor(new DenseMatrix(Ac))); } @Test public void testRepeatFactorNonSquare() { LQ lq = new LQ(Ac.numRows(), Ac.numColumns()); lq.factor(new DenseMatrix(Ac)); assertLQEquals(Ac, lq); lq.factor(new DenseMatrix(Ac)); assertLQEquals(Ac, lq); } private void assertLQEquals(Matrix A, LQ lq) { assertMatrixEquals(A, lq.getL().mult(lq.getQ(), A.copy().zero())); } }